Developer Relations Manager, AI Platform and Tools - Data Platform Engineering

About the role

We are seeking a Developer Relations Manager to lead strategic engagement within the horizontal AI platform and tools ecosystem in North America. In this role, you'll partner with companies working on data platform engineering to expand the use of NVIDIA's AI and accelerated computing platforms.

Responsibilities

• Develop and maintain deep technical expertise in data platform engineering, serve as the trusted technical advisor for ISVs and startups building in that space.
• Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines, delivering measurable performance and scalability improvements.
• Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions.
• Engage with partner technical leaders to guide best-practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy.
• Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth.
• Collaborate cross-functionally with solution architects, engineering, product management, and accounts teams to strengthen partner engagement and optimize adoption strategies.
• Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineering roadmaps.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on experience in AI.
• Proven ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences.

Qualifications

• Deep domain knowledge across enterprise data platform, including data engineering and pipeline acceleration, post-training data preparation and curation, data pipeline for RAG and semantic search.
• Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred.
• Deep familiarity with NVIDIA’s accelerated AI stack, RAPIDS, NeMo Curator, NeMo Data Designer, NeMo Retriever, cuDF, cuML, cuGraph, cuVS and other frameworks and CUDA-X libraries, with experience integrating them into production platforms.
• Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments.
• A strong builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up.

Skills

• Strong technical background in data platform engineering.
• Ability to communicate complex technical concepts effectively.
• Experience in leading technical partnerships and ecosystem growth.
• Knowledge of NVIDIA’s AI and accelerated computing platforms.

Benefits

• Competitive salaries and a generous benefits package.
• Opportunities for career growth and development.
• Work with a diverse and talented team of engineers and professionals.

Pay

Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Schedule

N/A

Benefits

• Health insurance
• Retirement plans
• Flexible work arrangements
• Professional development opportunities